Easily access data

Saves time and lets users focus their effort on the results interpretation

Gives access to up-to-date, reliable data from different business domains

Our cloud application is where analysts, marketers and consultants can easily access and compare market and product data from multiple sources.

Contributes to time-to-market improvement by push notifications about important changes made by competitors

Templates for copy-and-paste comparisons

Effortless data usage and access

Navigate through complexity

A large amount of data and their volatility over time lead to profound simplifications in the analysis. Could this way of reducing complexity produce misleading conclusions?

Financial sector for retail customers is very dynamic and complex. More than a hundred players, thousands of offers on products and banking services offered to millions of customers.

Our system continuously monitors financial offers over the retail market. Thanks to the automated change detection processes the time of their introduction into our database has been significantly reduced. Concerned about the reliability of the data, our data analysts check any data before sharing it. And at any time users can refer to the data source as a proof of our credibility.

Designed to analyze

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The FeeCOMPASS application is designed to analyze banking product offers available to retail banking customers on Polish financial market.

Each analysis is prepared in a three-step process composed of:

1

selecting offers from database using predefined attributes as well as complex queries;

2

filtering the set of results and defining the scope of analysis;

3

presenting the final outcomes in a handy, ready to use graphic form.

Intuitive and fully interactive

The application offers its users an intuitive and fully interactive process. To fine-tune analysis users can easily step back as well as preview the results of the query being constructed on-the-fly. When narrowing the set of the analyzed offers, users can construct queries based on five macrocategories (product type, customer needs, bank characteristic, access channel and geo-data) and their attributes as well as links between them.

The design of the UI of this application follows this three-step process, and the interface is divided into three parts:

1

Where users can build queries.The queries are represented in the form of a graph, where each connected node is part of the query.

2

where search results are listed and filtered

3

where results are presented as charts and diagrams

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Who can benefit?

Product design & marketing:

monitoring the market, providing alerts and ready to use comparisons with competitors on a detailed product parameters level